The graph represents a network of 1,569 Twitter users whose tweets in the requested range contained "deeplearning", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 28 April 2021 at 16:15 UTC.
The requested start date was Wednesday, 28 April 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 1-day, 23-hour, 18-minute period from Monday, 26 April 2021 at 00:38 UTC to Tuesday, 27 April 2021 at 23:57 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 1569
Unique Edges : 1624
Edges With Duplicates : 15229
Total Edges : 16853
Number of Edge Types : 5
Retweet : 6135
MentionsInRetweet : 6934
Tweet : 2994
Mentions : 756
Replies to : 34
Self-Loops : 3199
Reciprocated Vertex Pair Ratio : 0.0169215750081354
Reciprocated Edge Ratio : 0.03328
Connected Components : 310
Single-Vertex Connected Components : 199
Maximum Vertices in a Connected Component : 1064
Maximum Edges in a Connected Component : 16178
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.857897
Graph Density : 0.00127022606365682
Modularity : 0.152224
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 1,569 Twitter users whose tweets in the requested range contained "deeplearning", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 28 April 2021 at 16:15 UTC.
The requested start date was Wednesday, 28 April 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 1-day, 23-hour, 18-minute period from Monday, 26 April 2021 at 00:38 UTC to Tuesday, 27 April 2021 at 23:57 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : deeplearning
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[5067] read,more [4205] artificial,intelligence [1992] #artificialintelligence,#ai [1947] #ai,#datascience [1774] machine,learning [1721] #machinelearning,#bigdata [1699] more,#artificialintelligence [1678] #deeplearning,#nlp [1633] #nlp,#robots [1573] #robots,#iot Top Word Pairs in Tweet in G1:
[4983] read,more [4029] artificial,intelligence [1970] #artificialintelligence,#ai [1918] #ai,#datascience [1718] #machinelearning,#bigdata [1698] more,#artificialintelligence [1661] #deeplearning,#nlp [1629] #nlp,#robots [1620] machine,learning [1572] #robots,#iot Top Word Pairs in Tweet in G2:
[82] #machinelearning,#deeplearning [78] artificial,intelligence [74] #ai,#machinelearning [31] spirosmargaris,xbond49 [31] read,more [28] intelligence,#ai [27] #ai,#artificialintelligence [25] #artificialintelligence,#machinelearning [25] top,100 [25] 100,leading Top Word Pairs in Tweet in G3:
[24] read,more [14] deep,learning [12] machine,learning [11] artificial,intelligence [10] #machinelearning,#deeplearning [9] #ai,#deeplearning [9] #robotics,#ai [9] #ai,#iot [9] #iot,#artificialintelligence [9] #imaging,#adas Top Word Pairs in Tweet in G4:
[48] machine,learning [34] learning,using [23] artificial,intelligence [22] interactive,#deeplearning [22] #deeplearning,book [22] book,multi [22] multi,framework [22] framework,code [22] code,math [22] math,discussions Top Word Pairs in Tweet in G5:
[107] #deeplearning,#iot [67] #ai,#deeplearning [57] #deeplearning,#intoainews [52] #iot,#bigdata [35] deep,learning [31] artificial,intelligence [28] ht,mikequindazzi [24] #bigdata,cc [23] #getmoreinsights,#coolerdata [22] #iot,ht Top Word Pairs in Tweet in G6:
[35] #machinelearning,#deeplearning [24] #ai,#deeplearning [22] #deeplearning,#learning [17] machine,learning [15] #deeplearning,#machinelearning [12] deep,learning [10] artificial,intelligence [9] data,science [9] #learning,#machinelearning [8] study,shows Top Word Pairs in Tweet in G7:
[55] #machinelearning,#deeplearning [36] #deeplearning,#raspberrypi [32] #raspberrypi,#iot [19] #iot,#manufacturing [13] visit,today [11] today,aimfgs [8] custom,software [8] software,#machinelearning [7] machine,learning [7] #deeplearning,#iot Top Word Pairs in Tweet in G8:
[7] #initiation,mlearnia [7] mlearnia,publie [7] publie,nouvelle [7] nouvelle,excellente [7] excellente,série [7] série,vidéos [7] vidéos,formation [7] formation,#deeplearning [6] actuiafr,#initiation Top Word Pairs in Tweet in G9:
[8] #driverless,delivery [8] delivery,vehicle [8] vehicle,slinging [8] slinging,pizzas [8] pizzas,one [8] one,houston [8] houston,store [8] store,cnnbusinessnews [8] cnnbusinessnews,#supplychain [8] #supplychain,#logistics Top Word Pairs in Tweet in G10:
[11] #fintech,#deeplearning [11] #deeplearning,#science [7] #science,#cloudsecurity [7] #cloudsecurity,#java [6] tutorial,#facedetection [6] #facedetection,tips [6] tips,suggestions [6] suggestions,best [6] best,practices [6] practices,use Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G7:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: